Probability Models in Global Optimization

Document Type

Article

Publication Date

1-1-2016

Abstract

This paper reviews the interplay between global optimization and probability models, concentrating on a class of deterministic optimization algorithms that are motivated by probability models for the objective function. Some complexity results are described for the univariate and multivariate cases.

Identifier

84988039640 (Scopus)

Publication Title

Informatica Netherlands

External Full Text Location

https://doi.org/10.15388/Informatica.2016.87

ISSN

08684952

First Page

323

Last Page

334

Issue

2

Volume

27

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